docs: def getParser():
      "Creates and returns the argparse parser object."
      parser = argparse.ArgumentParser(description=__description__, formatter_class=argparse.RawDescriptionHelpFormatter)
      parser.add_argument('images', nargs='+', help='The images used for training (in the learning case) or to transform (in the transformation case)')
  
      apply_group = parser.add_argument_group('apply an existing model')
      apply_group.add_argument('--load-model', dest='lmodel', default=False, help='Location of the pickled intensity range model to load. Activated application mode.')
      
      train_group = parser.add_argument_group('train a new model and save and/or apply it')
      train_group.add_argument('--save-model', dest='smodel', default=False, help='Save the trained model under this name as a pickled object (should end in .pkl). Activates training mode.')
      train_group.add_argument('--cutoffp', dest='cutoffp', type=sequenceOfIntegersGeAscendingStrict, default='1,99', help='Colon-separated lower and upper cut-off percentile values to exclude intensity outliers during the model training.')
      train_group.add_argument('--landmarkp', dest='landmarkp', default='L4', help='The landmark percentiles, based on which to train the model. Can be L2, L3, L4 or a colon-separated, ordered list of percentiles.')
      train_group.add_argument('--stdspace', dest='stdspace', default='auto', help='Two colon-separated intensity values to roughly define the average intensity space to learn. In most cases should be left set to \'auto\'')
      
      shared_group = parser.add_argument_group('shared arguments')
      shared_group.add_argument('--save-images', dest='simages', default=False, help='Save the transformed images under this location. Required for the application mode, optional for the learning mode.')
      shared_group.add_argument('--threshold', type=float, default=0, help='All voxel with an intensity > threshold are considered as foreground. Supply either this or a mask for each image.')
      shared_group.add_argument('--masks', nargs='+', help='A number of binary foreground mask, one for each image. Alternative to supplying a threshold. Overrides the threshold parameter if supplied.')
      shared_group.add_argument('--ignore', dest='ignore', action='store_true', help='Ignore possible loss of information during the intensity transformation. Should only be used when you know what you are doing.')
      
      parser.add_argument('-v', '--verbose', dest='verbose', action='store_true', help='Verbose output')
      parser.add_argument('-d', '--debug', dest='debug', action='store_true', help='Display debug information.')
      parser.add_argument('-f', '--force', dest='force', action='store_true', help='Overwrite existing files (both model and images)')
      return parser